A proposed reinforcement learning approach via discrete control reformulation and multi-step double DQN for adaptive cruise control in electric vehicles
author
Meghawer, Assem Reda Abdelhafez Fahim
El-Shaer, Yasser
El-Sebah, Mohamed I. Abu
El-Khatib, Mohamed Fawzy
statement of authorship
Assem Meghawer, Yasser El-Shaer, Mohamed I. Abu El-Sebah & Mohamed Fawzy El-Khatib
source
Scientific reports
publisher
Springer Nature
journal volume number month
vol. 16, 1
year of publication
2026
pages
art. 3041 ; 20 p
url
https://doi.org/10.1038/s41598-025-33218-w
subject term
adaptiivsed juhtimissüsteemid
elektrisõidukid
tehisintellekt
testimine
keyword
adaptive cruise control (ACC)
deep Q-network
double deep Q-network
electric vehicles (EVs)
multi-scenario testing
reinforcement learning (RL)
ISSN
2045-2322
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
TalTech department
elektroenergeetika ja mehhatroonika instituut
Department of Electrical Power Engineering and Mechatronics
language
English
Inglise